Description
| Product ID: | 9781498730143 |
| Product Form: | Hardback |
| Country of Manufacture: | GB |
| Series: | Chapman & Hall/CRC Texts in Statistical Science |
| Title: | Analysis of Variance, Design, and Regression |
| Subtitle: | Linear Modeling for Unbalanced Data, Second Edition |
| Authors: | Author: Ronald Christensen |
| Page Count: | 636 |
| Subjects: | Psychological methodology, Psychological methodology, Real analysis, real variables, Probability and statistics, Real analysis, real variables, Probability & statistics |
| Description: | Select Guide Rating This second edition focuses on modeling unbalanced data. It presents many new topics, including new chapters on logistic regression, log-linear models, and time-to-event data. It shows how to model main-effects and interactions and introduces nonparametric, lasso, and generalized additive regression models. The text carefully analyzes small unbalanced data by using tools that are easily scaled to big data. R, Minitab®, and SAS codes are available on the author’s website. Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition presents linear structures for modeling data with an emphasis on how to incorporate specific ideas (hypotheses) about the structure of the data into a linear model for the data. The book carefully analyzes small data sets by using tools that are easily scaled to big data. The tools also apply to small relevant data sets that are extracted from big data. New to the Second Edition
The text can be used in a variety of courses, including a yearlong graduate course on regression and ANOVA or a data analysis course for upper-division statistics students and graduate students from other fields. It places a strong emphasis on interpreting the range of computer output encountered when dealing with unbalanced data. |
| Imprint Name: | Chapman & Hall/CRC |
| Publisher Name: | Taylor & Francis Inc |
| Country of Publication: | GB |
| Publishing Date: | 2015-12-22 |
